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A Blueprint for Modern Floodplain Management: System Requirements and Architecture for AI-Ready Platforms
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Abstract
Floodplain managers play a critical role in mitigating flood risks and ensuring compliance with federal, state, and local regulations. Their daily work often depends on a patchwork of standalone tools, manual processes, and legacy systems that have evolved over time to meet regulatory and community needs. To establish a foundation for next-generation technological solutions, we synthesized insights from a multi-tiered requirements elicitation process involving the analysis of continental U.S. local ordinances, professional consultations, and iterative community validation at targeted domain venues. This domain survey revealed five recurring themes spanning data use, workflow efficiency, communication challenges, regulatory complexity, and openness to technological innovation. The domain input identified a heavy reliance on FEMA maps with limited integration capabilities, widespread manual documentation, and significant barriers to public engagement and cross-jurisdictional tool adoption. It also identified opportunities for improvement, including enhanced GIS overlays, streamlined permit automation, scenario-based modeling, real-time alerts, and elevation verification tools. Drawing on these insights, we propose design principles for intelligent, user-centered platforms that integrate local workflows, regulatory requirements, and citizen engagement. This work establishes a highly practical, forward-thinking blueprint for democratizing AI-ready hydrology tools across resource-constrained local governments.
DOI
https://doi.org/10.31223/X5Q50N
Subjects
Artificial Intelligence and Robotics, Civil and Environmental Engineering, Computer Sciences, Engineering, Hydraulic Engineering, Physical Sciences and Mathematics, Water Resource Management
Keywords
Floodplain Management, Artificial Intelligence, Decision Support Systems, Requirements Engineering, Hydrology, Flood Risk Management, Large Language Models, Geographic Information Systems
Dates
Published: 2026-07-29 10:41
Last Updated: 2026-07-30 05:39
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
The data supporting the findings of this study consist of publicly available floodplain management regulations, publicly accessible documentation, and synthesized observations from domain engagement. Additional supporting materials are available from the corresponding author upon reasonable request.
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